Fabrice-TIERCELIN commited on
Commit
d766754
1 Parent(s): 1cf330c

Reduce the usage of GPU

Browse files
Files changed (1) hide show
  1. app.py +37 -13
app.py CHANGED
@@ -1,6 +1,8 @@
1
  import gradio as gr
2
  import torch
3
  import os
 
 
4
  from glob import glob
5
  from pathlib import Path
6
  from typing import Optional
@@ -9,9 +11,6 @@ from diffusers import StableVideoDiffusionPipeline
9
  from diffusers.utils import export_to_video
10
  from PIL import Image
11
 
12
- import random
13
- import spaces
14
-
15
  fps25Pipe = StableVideoDiffusionPipeline.from_pretrained(
16
  "vdo/stable-video-diffusion-img2vid-xt-1-1", torch_dtype=torch.float16, variant="fp16"
17
  )
@@ -24,8 +23,7 @@ fps14Pipe.to("cuda")
24
 
25
  max_64_bit_int = 2**63 - 1
26
 
27
- @spaces.GPU(duration=120)
28
- def sample(
29
  image: Image,
30
  seed: Optional[int] = 42,
31
  randomize_seed: bool = True,
@@ -35,7 +33,6 @@ def sample(
35
  decoding_t: int = 3,
36
  frame_format: str = "webp",
37
  version: str = "auto",
38
- device: str = "cuda",
39
  output_folder: str = "outputs",
40
  ):
41
  if image.mode == "RGBA":
@@ -43,20 +40,47 @@ def sample(
43
 
44
  if randomize_seed:
45
  seed = random.randint(0, max_64_bit_int)
46
- generator = torch.manual_seed(seed)
 
 
 
 
 
 
 
 
 
 
 
47
 
48
  os.makedirs(output_folder, exist_ok=True)
49
  base_count = len(glob(os.path.join(output_folder, "*.mp4")))
50
  video_path = os.path.join(output_folder, f"{base_count:06d}.mp4")
51
 
52
- if version == "svdxt" or (14 < fps_id and version != "svd"):
53
- frames = fps25Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
54
- else:
55
- frames = fps14Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
56
  export_to_video(frames, video_path, fps=fps_id)
57
 
58
  return video_path, gr.update(value=video_path, visible=True), gr.update(label="Generated frames in *." + frame_format + " format", format = frame_format, value = frames, visible=True), seed
59
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
60
  def resize_image(image, output_size=(1024, 576)):
61
  # Calculate aspect ratios
62
  target_aspect = output_size[0] / output_size[1] # Aspect ratio of the desired size
@@ -117,7 +141,7 @@ with gr.Blocks() as demo:
117
  gallery = gr.Gallery(label="Generated frames", visible=False)
118
 
119
  image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
120
- generate_btn.click(fn=sample, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, frame_format, version], outputs=[video, download_button, gallery, seed], api_name="video")
121
 
122
  gr.Examples(
123
  examples=[
@@ -127,7 +151,7 @@ with gr.Blocks() as demo:
127
  ],
128
  inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, frame_format, version],
129
  outputs=[video, download_button, gallery, seed],
130
- fn=sample,
131
  run_on_click=True,
132
  cache_examples=False,
133
  )
 
1
  import gradio as gr
2
  import torch
3
  import os
4
+ import random
5
+ import spaces
6
  from glob import glob
7
  from pathlib import Path
8
  from typing import Optional
 
11
  from diffusers.utils import export_to_video
12
  from PIL import Image
13
 
 
 
 
14
  fps25Pipe = StableVideoDiffusionPipeline.from_pretrained(
15
  "vdo/stable-video-diffusion-img2vid-xt-1-1", torch_dtype=torch.float16, variant="fp16"
16
  )
 
23
 
24
  max_64_bit_int = 2**63 - 1
25
 
26
+ def animate(
 
27
  image: Image,
28
  seed: Optional[int] = 42,
29
  randomize_seed: bool = True,
 
33
  decoding_t: int = 3,
34
  frame_format: str = "webp",
35
  version: str = "auto",
 
36
  output_folder: str = "outputs",
37
  ):
38
  if image.mode == "RGBA":
 
40
 
41
  if randomize_seed:
42
  seed = random.randint(0, max_64_bit_int)
43
+
44
+ frames = animate_on_gpu(
45
+ image,
46
+ seed,
47
+ randomize_seed,
48
+ motion_bucket_id,
49
+ fps_id,
50
+ noise_aug_strength,
51
+ decoding_t,
52
+ frame_format,
53
+ version
54
+ )
55
 
56
  os.makedirs(output_folder, exist_ok=True)
57
  base_count = len(glob(os.path.join(output_folder, "*.mp4")))
58
  video_path = os.path.join(output_folder, f"{base_count:06d}.mp4")
59
 
 
 
 
 
60
  export_to_video(frames, video_path, fps=fps_id)
61
 
62
  return video_path, gr.update(value=video_path, visible=True), gr.update(label="Generated frames in *." + frame_format + " format", format = frame_format, value = frames, visible=True), seed
63
 
64
+ @spaces.GPU(duration=120)
65
+ def animate_on_gpu(
66
+ image: Image,
67
+ seed: Optional[int] = 42,
68
+ randomize_seed: bool = True,
69
+ motion_bucket_id: int = 127,
70
+ fps_id: int = 6,
71
+ noise_aug_strength: float = 0.1,
72
+ decoding_t: int = 3,
73
+ frame_format: str = "webp",
74
+ version: str = "auto"
75
+ ):
76
+ generator = torch.manual_seed(seed)
77
+
78
+ if version == "svdxt" or (14 < fps_id and version != "svd"):
79
+ return fps25Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
80
+ else:
81
+ return fps14Pipe(image, decode_chunk_size=decoding_t, generator=generator, motion_bucket_id=motion_bucket_id, noise_aug_strength=noise_aug_strength, num_frames=25).frames[0]
82
+
83
+
84
  def resize_image(image, output_size=(1024, 576)):
85
  # Calculate aspect ratios
86
  target_aspect = output_size[0] / output_size[1] # Aspect ratio of the desired size
 
141
  gallery = gr.Gallery(label="Generated frames", visible=False)
142
 
143
  image.upload(fn=resize_image, inputs=image, outputs=image, queue=False)
144
+ generate_btn.click(fn=animate, inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, frame_format, version], outputs=[video, download_button, gallery, seed], api_name="video")
145
 
146
  gr.Examples(
147
  examples=[
 
151
  ],
152
  inputs=[image, seed, randomize_seed, motion_bucket_id, fps_id, noise_aug_strength, decoding_t, frame_format, version],
153
  outputs=[video, download_button, gallery, seed],
154
+ fn=animate,
155
  run_on_click=True,
156
  cache_examples=False,
157
  )